کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8072405 1521407 2018 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
CVaR risk-based optimization framework for renewable energy management in distribution systems with DGs and EVs
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
CVaR risk-based optimization framework for renewable energy management in distribution systems with DGs and EVs
چکیده انگلیسی
A method based on chance constrained second-order cone programming (CCSOCP) is presented for the optimal risk value control of power loss in distribution systems with the distributed generation (DG) of renewable energy systems and electric vehicles (EVs). The charging power of the EV is seen as a random variable, and the risk value of the power loss - due to the uncertainties in the power output of distributed generation of renewable energy systems and charging power of electric vehicles - is studied. Moreover, a second-order cone programming based method is also presented to constrain the potential risk of power loss to an acceptable range by optimally coordinating the power output of DG and the EV charging power in a distribution system. A conditional value at risk (CVaR) model for the power loss of distribution systems is presented and CVaR is taken as a constraint to control the risk value of power loss due to uncertainties in DG and EV charging. The results of a test on a 69-node system are used to verify the validity of the risk control method proposed in this paper.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 143, 15 January 2018, Pages 323-336
نویسندگان
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